联系方式

通讯地址：福建省福州市福州大学国家大学科技园1号楼 邮编:350108

电子邮箱：shuaizheng.yan@fzu.edu.cn

教育工作经历

2023/08-至今，福州大学，bwin必赢机电系，副教授

2023/08-至今，入选福建省2023届教育科研类引进生人才计划

2018/09-2023/06，中国科学院自动化研究所，复杂系统决策和认知实验室，博士

2014/09-2018/06，电子科技大学，自动化工程学院，学士

社会兼职

担任多个机器人领域国际期刊或会议审稿人，包含：IEEE Transactions on Industrial Electronics，IEEE/ASME Transactions on Mechatronics，IEEE Transactions on Control System Technology，IEEE/RSJ International Conference on Intelligent Robots and Systems，IEEE International Conference on Robotics and Automation等。

研究领域（研究课题）

1）水下仿生机器人系统设计

2）机器学习、深度强化学习

3）水下图像恢复、医学影像处理

4）机器人自主导航系统

欢迎多学科背景学生咨询并加入课题组共同成长！

主要科研项目

1）福建省引进生人才引进计划项目“仿双髻鲨机器人水下全向感知与智能控制研究”，编号：511316，2023.10–2025.10，30万，在研，主持；

2）国家自然科学基金委员会，重点项目，“子母式水下仿生机器人系统集群协同环境感知与作业规划”，编号：62033013，2021.01–2025.12，301万元，在研，参与。

代表性论著

期刊论文：

[1]Yupei Huang, Peng Li,Shuaizheng Yan, Min Tan, Junzhi Yu, and Zhengxing Wu, “Self-localization of a biomimetic robotic shark using tightly coupled visual-acoustic fusion,”IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2024.3352147, 2024.

[2]Shuaizheng Yan, Xingyu Chen, Zhengxing Wu, Min Tan, and Junzhi Yu, “Hybrur: A hybrid physical-neural solution for unsupervised underwater image restoration,”IEEE Transactions on Image Processing, 32: 5004–5016, 2023.

[3]Shuaizheng Yan, Zhengxing Wu, Jian Wang, Min Tan, and Junzhi Yu, “Real-world learning control for autonomous exploration of a biomimetic robotic shark,”IEEE Transactions on Industrial Electronics, 70(4): pp. 3966–3974, 2023.

[4]Shuaizheng Yan, Zhengxing Wu, Jian Wang, Sijie Li, Min Tan, and Junzhi Yu, “Towards unusual rolled swimming motion of a bioinspired robotic hammerhead shark under negative buoyancy,”IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2023.3319324, 2023.

[5]Shuaizheng Yan, Jian Wang, Zhengxing Wu, Min Tan, and Junzhi Yu, “Autonomous vision-based navigation and stability augmentation control of a biomimetic robotic hammerhead shark,”IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2023.3278740, 2023.

[6]Jian Wang, Zhengxing Wu,Shuaizheng Yan, Min Tan, and Junzhi Yu, “Real-time path planning and following of a gliding robotic dolphin dolphin within a hierarchical framework,”IEEE Transactions on Vehicle Technology, 70(4): 3243–3255, 2023.

[7]Yupei Huang, Peng Li,Shuaizheng Yan, Yaming Ou, Zhengxing Wu, Min Tan, and Junzhi Yu, “Tightly-coupled visual-DVL fusion for accurate localization of underwater robots,” inProc. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023: 8090–8095.

[8]Shuaizheng Yan, Zhengxing Wu, Jian Wang, Min Tan, and Junzhi Yu, “Efficient cooperative structured control for a multijoint biomimetic robotic fish,”IEEE/ASME Transactions on Mechatronics, 26(5): 2506–2516, 2021.

[9]Shuaizheng Yan, Zhengxing Wu, Jian Wang, Min Tan, and Junzhi Yu, “Marine autonomous navigation for biomimetic underwater robots based on deep stereo attention network,”in Proc. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 2021: 8418–8423.

[10]Shuaizheng Yan, Jian Wang, Zhengxing Wu, Junzhi Yu, and Min Tan, “Motion optimization for a robotic fish based on adversarial structured control,” inProc. 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), Dali, China, 2019: 346–351.

发明专利：

[1]吴正兴,闫帅铮,王健,仝茹,喻俊志,谭民,水下航行器主动增稳控制方法及装置,2023.10.31,中国, ZL202310938219.5

[2]王健,吴正兴,闫帅铮,邱常林,喻俊志,谭民,基于双目视差机制的深度立体注意力视觉导航方法及装置, 2023.10.31,中国, ZL202310938394.4

[3]吴正兴,喻俊志,闫帅铮,王健,黄雨培,谭民,水下探索策略模型的训练方法及仿生机器鱼水下探索方法, 2022.12.06,中国, ZL202210043511.6

[4]吴正兴,喻俊志,闫帅铮,王健,谭民,基于对抗结构化控制的仿生机器鱼运动控制方法、系统, 2023.03.24,中国, ZL201911199839.1

[5]吴正兴,王健,李思捷,闫帅铮,谭民,仿生鱼路径控制方法、装置及仿生鱼, 2022.07.12,中国, ZL202210442624.3

[6]Zhengxing Wu, Junzhi Yu,Shuaizheng Yan, Jian Wang, Min Tan, Motion control method and system for biomimetic robotic fish based on adversarial structured control, 2020.03.30,美国, US10962976B1

[7]Junzhi Yu, Zhengxing Wu, Jian Wang,Shuaizheng Yan, Min Tan , Gliding depth control method system and device for biomimetic gliding robotic dolphin, 2021.3.2,美国, US10935986B1

获奖情况：

[1]2023年北京市优秀毕业生

[2]2019年IEEE ROBIO国际会议仿生学最佳论文奖Best paper in biomimetics.

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